Joseph A. Morrone, Alberto Perez, et al.
JCTC
Traditionally, computing the binding affinities of proteins to even relatively small and rigid ligands by free-energy methods has been challenging due to large computational costs and significant errors. Here, we apply a new molecular simulation acceleration method called MELD (Modeling by Employing Limited Data) to study the binding of stapled α-helical peptides to the MDM2 and MDMX proteins. We employ free-energy-based molecular dynamics simulations (MELD-MD) to identify binding poses and calculate binding affinities. Even though stapled peptides are larger and more complex than most protein ligands, the MELD-MD simulations can identify relevant binding poses and compute relative binding affinities. MELD-MD appears to be a promising method for computing the binding properties of peptide ligands with proteins.
Joseph A. Morrone, Alberto Perez, et al.
JCTC
Jeffrey K. Weber, Joseph A. Morrone, et al.
J. Comput. Aided Mol. Des.
Alberto Perez, Joseph A. Morrone, et al.
WIREs Computational Molecular Science
Alberto Perez, Joseph A. Morrone, et al.
Science Advances